OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Bias and Debias in Recommender System: A Survey and Future Directions	170
Deep Learning for Sequential Recommendation	129
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research	105
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification	95
A Survey on the Fairness of Recommender Systems	77
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	75
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	58
Personalized News Recommendation: Methods and Challenges	49
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	49
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation	49
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users	45
Reinforcement Learning–based Collective Entity Alignment with Adaptive Features	41
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach	38
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis	36
Collaborative Graph Learning for Session-based Recommendation	35
Personalized Prompt Learning for Explainable Recommendation	35
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	35
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	34
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	34
Unbiased Learning to Rank	33
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion	33
Decentralized Collaborative Learning Framework for Next POI Recommendation	33
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	31
How Am I Doing?: Evaluating Conversational Search Systems Offline	30
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems	29

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation	28
Toward Dynamic User Intention	28
Interaction-aware Drug Package Recommendation via Policy Gradient	27
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations	26
Combining Graph Convolutional Neural Networks and Label Propagation	25
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation	24
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting	24
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation	24
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation	23
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	23
From Users’ Intentions to IF-THEN Rules in the Internet of Things	23
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach	22
Multi-interest Diversification for End-to-end Sequential Recommendation	22
AutoML for Deep Recommender Systems: A Survey	21
Time-aware Path Reasoning on Knowledge Graph for Recommendation	21
Personalizing Medication Recommendation with a Graph-Based Approach	21
Federated User Modeling from Hierarchical Information	21
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network	20
Feature-Level Attentive ICF for Recommendation	19
Sequential Recommendation with Multiple Contrast Signals	18
Addressing Confounding Feature Issue for Causal Recommendation	18
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation	18
A Review on Question Generation from Natural Language Text	18
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	18
Exploiting Positional Information for Session-Based Recommendation	18
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	18
Dense Text Retrieval Based on Pretrained Language Models: A Survey	17
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	17
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge	17
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	17
Learning to Learn a Cold-start Sequential Recommender	17
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training	17
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	17
Assessing Top- Preferences	16
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment	16
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	16
Retrieval Evaluation Measures that Agree with Users’ SERP Preferences	16
Unsupervised Social Bot Detection via Structural Information Theory	16
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation	16
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation	16
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder	15
A Next Basket Recommendation Reality Check	15
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	15
Few-shot Aspect Category Sentiment Analysis via Meta-learning	15
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization	15
Knowledge-Guided Disentangled Representation Learning for Recommender Systems	15
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation	15
On the User Behavior Leakage from Recommender System Exposure	15
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	14
Contrastive Self-supervised Learning in Recommender Systems: A Survey	14

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	14
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants	14
Conversations with Search Engines: SERP-based Conversational Response Generation	14
Contrastive Learning for Legal Judgment Prediction	13
The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems	13
Topic Difficulty: Collection and Query Formulation Effects	13
Efficient On-Device Session-Based Recommendation	13
What and How long: Prediction of Mobile App Engagement	13
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation	13
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	13
Meaningful Answer Generation of E-Commerce Question-Answering	13
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks	13
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	13
Meta-evaluation of Conversational Search Evaluation Metrics	12
On the Study of Transformers for Query Suggestion	12
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs	12
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback	12
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank	12
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling	12
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation	11
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey	11
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation	11
Target-guided Emotion-aware Chat Machine	11
Integrating Collaboration and Leadership in Conversational Group Recommender Systems	11
On the Effectiveness of Sampled Softmax Loss for Item Recommendation	11
Graph Neural Pre-training for Recommendation with Side Information	11
A Multi-strategy-based Pre-training Method for Cold-start Recommendation	11
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	11
Toward Comprehensive User and Item Representations via Three-tier Attention Network	10
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	10
Disentangled Representations Learning for Multi-target Cross-domain Recommendation	10
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing	10
A Critical Study on Data Leakage in Recommender System Offline Evaluation	10
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search	10
SPEX: A Generic Framework for Enhancing Neural Social Recommendation	10
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots	10
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	10
Spoken Conversational Context Improves Query Auto-completion in Web Search	10
Understanding Relevance Judgments in Legal Case Retrieval	9
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks	9
DiffuRec: A Diffusion Model for Sequential Recommendation	9
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?	9
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation	9
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	9
Improving Transformer-based Sequential Recommenders through Preference Editing	9
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	9
Theories of Conversation for Conversational IR	9